Leveraging ensemble machine learning models (XGBoost and random forest) and genetic algorithms to predict factors contributing to the liposomal entrapment of therapeutics.

Authors: Khodadadi F; Department of Pharmaceutics and Pharmaceutical Nanotechnology, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran. a_haeri@sbmu.ac.ir., Taghizadeh F; Department of Pharmaceutics and Pharmaceutical Nanotechnology, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran. a_haeri@sbmu.ac.ir., Hashemi Baghi A; Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran, Iran., Ayyoubzadeh SM; Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran., Dadashzadeh S; Department of Pharmaceutics and Pharmaceutical Nanotechnology, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran. a_haeri@sbmu.ac.ir., Haeri A; Department of Pharmaceutics and Pharmaceutical Nanotechnology, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran. a_haeri@sbmu.ac.ir.; Protein Technology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Source: Nanoscale [Nanoscale] 2025 Oct 02; Vol. 17 (38), pp. 22271-22290. Date of Electronic Publication: 2025 Oct 02.

Publication Type: Journal Article

Journal Info: Publisher: RSC Pub Country of Publication: England NLM ID: 101525249 Publication Model: Electronic Cited Medium: Internet ISSN: 2040-3372 (Electronic) Linking ISSN: 20403364 NLM ISO Abbreviation: Nanoscale Subsets: MEDLINE

MeSH Terms: Liposomes*/chemistry , Machine Learning* , Algorithms*, Drug Delivery Systems ; Solubility ; Cholesterol/chemistry ; Genetic Algorithms ; Random Forest ; Boosting Machine Learning Algorithms

Assessing the 10/66 dementia classification algorithm for international comparative analyses with the United States.

Authors: Llibre Guerra JJ; Department of Neurology, Washington University in St. Louis, St. Louis, MO, United States., Weiss J; Stanford Center on Longevity, Stanford University, Stanford, CA, United States., Li J; Department of Pharmacy, University of Washington, Seattle, WA, United States., Soria C; Department of Demography, University of California at Berkeley, Berkeley, CA, United States., Rodriguez-Salgado A; Medical University of Havana, Havana, Cuba., Jesús Llibre Rodriguez J; Medical University of Havana, Havana, Cuba., Jiménez Velázquez IZ; Department of Medicine, University of Puerto Rico, San Juan, Puerto Rico., Acosta D; Universidad Nacional Pedro Henriquez Ureña, Santo Domingo, Dominican Republic., Liu MM; Department of Demography, University of California at Berkeley, Berkeley, CA, United States., Dow WH; Department of Demography, University of California at Berkeley, Berkeley, CA, United States.; Department of Demography, School of Public Health, University of California at Berkeley, Berkeley, CA, United States.

Source: American journal of epidemiology [Am J Epidemiol] 2025 Nov 04; Vol. 194 (11), pp. 3117-3125.

Publication Type: Journal Article; Comparative Study

Journal Info: Publisher: Oxford University Press Country of Publication: United States NLM ID: 7910653 Publication Model: Print Cited Medium: Internet ISSN: 1476-6256 (Electronic) Linking ISSN: 00029262 NLM ISO Abbreviation: Am J Epidemiol Subsets: MEDLINE

MeSH Terms: Algorithms* , Dementia*/classification , Dementia*/epidemiology , Dementia*/diagnosis, Humans ; United States/epidemiology ; Aged ; Male ; Female ; Aged, 80 and over ; Middle Aged ; Risk Factors ; Sensitivity and Specificity ; Prevalence ; Developing Countries ; Classification Algorithms

SCIMITAR: optimising chest digital tomosynthesis devices using geometric simulations and genetic algorithms.

Authors: Hill AD; Department of Physics, University of Liverpool, Liverpool, United Kingdom.; The Cockcroft Institute, Sci-Tech Daresbury, Warrington, United Kingdom., Aflyatunova D; Department of Physics, University of Liverpool, Liverpool, United Kingdom.; The Cockcroft Institute, Sci-Tech Daresbury, Warrington, United Kingdom., Mavalankar A; Adaptix Ltd, Oxford University Begbroke Science Park, Oxford, United Kingdom., Wells S; Adaptix Ltd, Oxford University Begbroke Science Park, Oxford, United Kingdom., Bowen DK; Adaptix Ltd, Oxford University Begbroke Science Park, Oxford, United Kingdom., Holloway F; Department of Physics, University of Liverpool, Liverpool, United Kingdom., Eley L; Department of Physics, University of Liverpool, Liverpool, United Kingdom.; The Cockcroft Institute, Sci-Tech Daresbury, Warrington, United Kingdom., Jamieson I; Adaptix Ltd, Oxford University Begbroke Science Park, Oxford, United Kingdom., Contino M; Adaptix Ltd, Oxford University Begbroke Science Park, Oxford, United Kingdom., Welsch CP; Department of Physics, University of Liverpool, Liverpool, United Kingdom.; The Cockcroft Institute, Sci-Tech Daresbury, Warrington, United Kingdom.

Source: Biomedical physics & engineering express [Biomed Phys Eng Express] 2025 Oct 14; Vol. 11 (6). Date of Electronic Publication: 2025 Oct 14.

Publication Type: Journal Article

Journal Info: Publisher: IOP Publishing Ltd Country of Publication: England NLM ID: 101675002 Publication Model: Electronic Cited Medium: Internet ISSN: 2057-1976 (Electronic) Linking ISSN: 20571976 NLM ISO Abbreviation: Biomed Phys Eng Express Subsets: MEDLINE

MeSH Terms: Algorithms* , Imaging, Three-Dimensional*/methods , Imaging, Three-Dimensional*/instrumentation , Radiography, Thoracic*/instrumentation , Radiography, Thoracic*/methods , Tomography, X-Ray Computed*/instrumentation , Tomography, X-Ray Computed*/methods , Radiographic Image Enhancement*/instrumentation , Radiographic Image Enhancement*/methods, Humans ; Computer Simulation ; Equipment Design ; Phantoms, Imaging ; Genetic Algorithms

A feature recognition and detection algorithm for pine wilt disease trees based on FLMP-YOLOv8.

Authors: Feng X; College of Electronic and Information Engineering, Xi'an Technological University, Xi'an, China.; College of Sciences, Xi'an Technological University, Xi'an, China., Zhao X; College of Electronic and Information Engineering, Xi'an Technological University, Xi'an, China., Shi H; College of Sciences, Xi'an Technological University, Xi'an, China., Chen C; College of Electronic and Information Engineering, Xi'an Technological University, Xi'an, China., Xie Y; Institute of Forest Protection, Shaanxi Academy of Forestry Sciences, Xi'an, China., Liu M; College of Electronic and Information Engineering, Xi'an Technological University, Xi'an, China., Hu H; College of Electronic and Information Engineering, Xi'an Technological University, Xi'an, China., Guo H; Institute of Forest Protection, Shaanxi Academy of Forestry Sciences, Xi'an, China., Xue P; College of Sciences, Xi'an Technological University, Xi'an, China.

Source: PloS one [PLoS One] 2025 Dec 04; Vol. 20 (12), pp. e0337109. Date of Electronic Publication: 2025 Dec 04 (Print Publication: 2025).

Publication Type: Journal Article

Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

MeSH Terms: Plant Diseases*/parasitology , Algorithms* , Pinus*/parasitology , Trees*/parasitology, Animals ; Forests ; China ; Coleoptera ; Detection Algorithms

Adverse Short-Term Cardiometabolic Outcomes in Psychosis Early Intervention Services: Which Risk Prediction Algorithm?

Authors: Hughes J; Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK., Asok AM; NHS Greater Glasgow and Clyde, Glasgow, UK., Lim MF; Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK.; Department of Psychiatry, University of Cambridge, Cambridge, UK., Galindo L; Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK.; Department of Psychiatry, University of Cambridge, Cambridge, UK., Perry BI; Department of Psychiatry, University of Cambridge, Cambridge, UK.; Institute for Mental Health and Centre for Human Brain Health, University of Birmingham, Birmingham, UK.; Birmingham Early Intervention Service, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK.

Source: Early intervention in psychiatry [Early Interv Psychiatry] 2025 Dec; Vol. 19 (12), pp. e70116.

Publication Type: Journal Article

Journal Info: Publisher: Wiley-Blackwell Country of Publication: Australia NLM ID: 101320027 Publication Model: Print Cited Medium: Internet ISSN: 1751-7893 (Electronic) Linking ISSN: 17517885 NLM ISO Abbreviation: Early Interv Psychiatry Subsets: MEDLINE

MeSH Terms: Psychotic Disorders*/complications , Psychotic Disorders*/therapy , Algorithms* , Early Medical Intervention* , Cardiometabolic Risk Factors*, Humans ; Adult ; Male ; Female ; Adolescent ; Young Adult ; Middle Aged ; Risk Assessment/methods ; Aged ; Prediction Algorithms

Real-world validation of a bleeding prediction algorithm in levonorgestrel intrauterine device users using the MyIUS mobile app.

Authors: Vieira CS; Department of Obstetrics and Gynecology, Ribeirao Preto Medical School, University of São Paulo, Brazil. Electronic address: carol.sales@usp.br., Eggebrecht L; ZEG Berlin, Center for Epidemiology and Health Research, Berlin, Germany., Milhoranca IA; ZEG Berlin, Center for Epidemiology and Health Research, Berlin, Germany., Neumann R; Bayer Aktiengesellschaft, Berlin, Germany., Acar MS; Bayer Consumer Care AG, Basel, Switzerland., von Stockum S; ZEG Berlin, Center for Epidemiology and Health Research, Berlin, Germany., Frenz AK; Bayer Aktiengesellschaft, Wuppertal - Aprath, Germany.

Source: Contraception [Contraception] 2025 Dec; Vol. 152, pp. 111201. Date of Electronic Publication: 2025 Sep 04.

Publication Type: Journal Article; Observational Study; Validation Study; Multicenter Study

Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 0234361 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0518 (Electronic) Linking ISSN: 00107824 NLM ISO Abbreviation: Contraception Subsets: MEDLINE

MeSH Terms: Levonorgestrel*/administration & dosage , Levonorgestrel*/adverse effects , Mobile Applications* , Intrauterine Devices, Medicated*/adverse effects , Algorithms* , Contraceptive Agents, Female*/administration & dosage , Contraceptive Agents, Female*/adverse effects , Metrorrhagia*, Humans ; Female ; Adult ; Young Adult ; Adolescent ; Amenorrhea/chemically induced ; Middle Aged ; Prediction Algorithms

Developing predictive models for COVID-19 positive tests based on the XGBoost and random forest algorithms with internet search data.

Authors: Chang Y; Department of Medical Statistics, School of Public Health & Sun Yat-sen Global Health Institute & Center for Health Information Research, Sun Yat- sen University, Guangzhou, China., Chen J; Department of Medical Statistics, School of Public Health & Sun Yat-sen Global Health Institute & Center for Health Information Research, Sun Yat- sen University, Guangzhou, China., Chen X; Department of Medical Statistics, School of Public Health & Sun Yat-sen Global Health Institute & Center for Health Information Research, Sun Yat- sen University, Guangzhou, China., Wu Y; Department of Medical Statistics, School of Public Health & Sun Yat-sen Global Health Institute & Center for Health Information Research, Sun Yat- sen University, Guangzhou, China., Tang H; Department of Medical Statistics, School of Public Health & Sun Yat-sen Global Health Institute & Center for Health Information Research, Sun Yat- sen University, Guangzhou, China., Wu G; Department of Medical Statistics, School of Public Health & Sun Yat-sen Global Health Institute & Center for Health Information Research, Sun Yat- sen University, Guangzhou, China., Sun J; Department of Medical Statistics, School of Public Health & Sun Yat-sen Global Health Institute & Center for Health Information Research, Sun Yat- sen University, Guangzhou, China., Liao Y; Department of Medical Statistics, School of Public Health & Sun Yat-sen Global Health Institute & Center for Health Information Research, Sun Yat- sen University, Guangzhou, China., Chen H; Department of Medical Statistics, School of Public Health & Sun Yat-sen Global Health Institute & Center for Health Information Research, Sun Yat- sen University, Guangzhou, China., Cai S; Department of Medical Statistics, School of Public Health & Sun Yat-sen Global Health Institute & Center for Health Information Research, Sun Yat- sen University, Guangzhou, China., Hao Y; Department of Medical Statistics, School of Public Health & Sun Yat-sen Global Health Institute & Center for Health Information Research, Sun Yat- sen University, Guangzhou, China. haoyt@bjmu.edu.cn.; Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, 100191, China. haoyt@bjmu.edu.cn.; Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, 100191, China. haoyt@bjmu.edu.cn.; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, 100191, China. haoyt@bjmu.edu.cn., Zhang W; Department of Medical Statistics, School of Public Health & Sun Yat-sen Global Health Institute & Center for Health Information Research, Sun Yat- sen University, Guangzhou, China. zhangwj227@mail.sysu.edu.cn., Du Z; Department of Medical Statistics, School of Public Health & Sun Yat-sen Global Health Institute & Center for Health Information Research, Sun Yat- sen University, Guangzhou, China. duzhch5@mail.sysu.edu.cn.; Guangzhou Joint Research Center for Disease Surveillance and Risk Assessment, Sun Yat-sen University & Guangzhou Center for Disease Control and Prevention, Guangzhou, China. duzhch5@mail.sysu.edu.cn.

Source: BMC public health [BMC Public Health] 2025 Nov 28; Vol. 25 (1), pp. 4189. Date of Electronic Publication: 2025 Nov 28.

Publication Type: Journal Article

Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968562 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2458 (Electronic) Linking ISSN: 14712458 NLM ISO Abbreviation: BMC Public Health Subsets: MEDLINE

MeSH Terms: COVID-19*/diagnosis , COVID-19*/epidemiology , Internet* , Algorithms* , Models, Statistical* , COVID-19 Testing*/statistics & numerical data , Search Engine*, Humans ; Forecasting/methods ; SARS-CoV-2 ; Random Forest ; Boosting Machine Learning Algorithms

Prevalence of retinopathy of prematurity in African preterm infants and evaluation of the accuracy of the WINROP predictive algorithm: an observational clinical study.

Authors: Amouzou D; Department of Ophthalmology, University of Ilorin Teaching Hospital, Kwara State, Nigeria.; Department of Ophthalmology, University of Lome Teaching Hospital, Lome, Togo., Ademola-Popoola DS; Department of Ophthalmology, University of Ilorin and University of Ilorin Teaching Hospital, Kwara State, Nigeria. dupsyp@yahoo.com., Obajolowo TS; Department of Ophthalmology, University of Ilorin and University of Ilorin Teaching Hospital, Kwara State, Nigeria., Adesiyun OO; Department of Pediatrics, Neonatology Unit, University of Ilorin, University of Ilorin Teaching Hospital, Kwara State, Nigeria., Olokoba LB; Department of Ophthalmology, University of Ilorin and University of Ilorin Teaching Hospital, Kwara State, Nigeria., Olatunji VA; Department of Ophthalmology, University of Ilorin and University of Ilorin Teaching Hospital, Kwara State, Nigeria.

Source: BMC ophthalmology [BMC Ophthalmol] 2025 Nov 27; Vol. 25 (1), pp. 673. Date of Electronic Publication: 2025 Nov 27.

Publication Type: Journal Article; Observational Study

Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100967802 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2415 (Electronic) Linking ISSN: 14712415 NLM ISO Abbreviation: BMC Ophthalmol Subsets: MEDLINE

MeSH Terms: Retinopathy of Prematurity*/epidemiology , Retinopathy of Prematurity*/diagnosis , Algorithms* , Neonatal Screening*/methods, Humans ; Infant, Newborn ; Infant, Premature ; Female ; Prevalence ; Male ; Gestational Age ; Birth Weight ; Predictive Value of Tests ; Intensive Care Units, Neonatal ; Prediction Algorithms

Aerial small target detection algorithm based on cross-scale separated attention.

Authors: Liang J; College of Computer Application, Guilin University of Technology, Guilin, Guangxi, China., Wang F; College of Electronics and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu, China., Chen J; College of Computer Application, Guilin University of Technology, Guilin, Guangxi, China., Huang HY; College of Electronics and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu, China., Dou ZF; College of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu, China.

Source: PloS one [PLoS One] 2025 Nov 26; Vol. 20 (11), pp. e0337318. Date of Electronic Publication: 2025 Nov 26 (Print Publication: 2025).

Publication Type: Journal Article

Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

MeSH Terms: Algorithms* , Unmanned Aerial Devices* , Photography*/methods , Image Processing, Computer-Assisted*/methods, Detection Algorithms

Low-Cost, High-Accuracy Reactivity Modeling: Integrating Genetic Algorithms and Machine Learning with Multilevel DFT Calculations.

Authors: Pérez JA; Instituto de Química Rosario (CONICET), Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Suipacha 531, Rosario 2000, Argentina.; Instituto de Investigaciones en Ingeniería Ambiental, Química y Biotecnología Aplicada (INGEBIO), Facultad de Química e Ingeniería del Rosario, Pontificia Universidad Católica Argentina, Av. Pellegrini 3314, Rosario 2000, Argentina., Zanardi MM; Instituto de Investigaciones en Ingeniería Ambiental, Química y Biotecnología Aplicada (INGEBIO), Facultad de Química e Ingeniería del Rosario, Pontificia Universidad Católica Argentina, Av. Pellegrini 3314, Rosario 2000, Argentina., Sarotti AM; Instituto de Química Rosario (CONICET), Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Suipacha 531, Rosario 2000, Argentina.

Source: Journal of chemical information and modeling [J Chem Inf Model] 2025 Nov 24; Vol. 65 (22), pp. 12422-12436. Date of Electronic Publication: 2025 Nov 10.

Publication Type: Journal Article

Journal Info: Publisher: American Chemical Society Country of Publication: United States NLM ID: 101230060 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1549-960X (Electronic) Linking ISSN: 15499596 NLM ISO Abbreviation: J Chem Inf Model Subsets: MEDLINE

MeSH Terms: Machine Learning* , Density Functional Theory* , Algorithms*, Thermodynamics ; Cycloaddition Reaction ; Genetic Algorithms

Demand forecasting and inventory optimization of distribution equipment: A fusion model based on genetic algorithm and machine learning.

Authors: Tu Q; Economic and Technological Research Institute, State Grid Shandong Electric Power Company, Jinan, China., Zhang H; Economic and Technological Research Institute, State Grid Shandong Electric Power Company, Jinan, China., Li W; State Grid Economic and Technical Research Institute Co., Ltd., Beijing, China., Duan J; State Grid Economic and Technical Research Institute Co., Ltd., Beijing, China., Kong C; Economic and Technological Research Institute, State Grid Shandong Electric Power Company, Jinan, China.

Source: PloS one [PLoS One] 2025 Nov 18; Vol. 20 (11), pp. e0336026. Date of Electronic Publication: 2025 Nov 18 (Print Publication: 2025).

Publication Type: Journal Article

Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

MeSH Terms: Machine Learning* , Algorithms* , Electric Power Supplies*, Forecasting ; Models, Theoretical ; Genetic Algorithms

Genetic algorithm-optimized neural network outperforms TNM staging in predicting rapidly progressive nasopharyngeal carcinoma: Reassessing adjuvant chemotherapy benefit via propensity score matching.

Authors: Ling LT; Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China., Li WJ; Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China., Yao Y; Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China., Tan KQ; Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China., Zhu BL; Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China., Zhou LQ; Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China., Qu S; Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China., Li L; Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China., Guan Y; Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China., Zhu XD; Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China. Electronic address: zhuxdonggxmu@126.com., Pan LH; Guangxi Engineering Research Center for Tissue & Organ Injury and Repair Medicine, Nanning, China; Guangxi Key Laboratory for Basic Science and Prevention of Perioperative Organ Dysfunction, Nanning, China. Electronic address: panlinghui@gxmu.edu.cn., Liang ZG; Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China. Electronic address: liangzhongguo@gxmu.edu.cn.

Source: European journal of cancer (Oxford, England : 1990) [Eur J Cancer] 2025 Nov 17; Vol. 230, pp. 115787. Date of Electronic Publication: 2025 Sep 12.

Publication Type: Journal Article

Journal Info: Publisher: Elsevier Science Ltd Country of Publication: England NLM ID: 9005373 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0852 (Electronic) Linking ISSN: 09598049 NLM ISO Abbreviation: Eur J Cancer Subsets: MEDLINE

MeSH Terms: Neural Networks, Computer* , Nasopharyngeal Carcinoma*/pathology , Nasopharyngeal Carcinoma*/therapy , Nasopharyngeal Carcinoma*/mortality , Nasopharyngeal Carcinoma*/genetics , Nasopharyngeal Neoplasms*/pathology , Nasopharyngeal Neoplasms*/therapy , Nasopharyngeal Neoplasms*/genetics , Nasopharyngeal Neoplasms*/mortality , Algorithms*, Humans ; Male ; Female ; Retrospective Studies ; Middle Aged ; Neoplasm Staging ; Chemotherapy, Adjuvant ; Disease Progression ; Propensity Score ; Adult ; Aged ; Machine Learning ; Chemoradiotherapy ; Young Adult ; Genetic Algorithms

ESA-YOLO: An efficient scale-aware traffic sign detection algorithm based on YOLOv11 under adverse weather conditions.

Authors: Li C; School of Computer Science and Technology, XinJiang University, Urumqi City, Xinjiang Autonomous Region, China., Liu S; School of Computer Science and Technology, XinJiang University, Urumqi City, Xinjiang Autonomous Region, China., Peng Z; School of Computer Science and Technology, XinJiang University, Urumqi City, Xinjiang Autonomous Region, China.

Source: PloS one [PLoS One] 2025 Nov 14; Vol. 20 (11), pp. e0336863. Date of Electronic Publication: 2025 Nov 14 (Print Publication: 2025).

Publication Type: Journal Article

Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

MeSH Terms: Algorithms* , Weather* , Automobile Driving*, Humans ; Detection Algorithms

Multivariate analysis of determinants and development of a predictive algorithm for successful labor induction in nulliparous women.

Authors: Wei N; Ultrasound Department of National Traditional Chinese Medicine Hospital of Xiangxi Tujia and Miao Autonomous Prefecture, Jishou, Hunan, China. weineifang1@163.com., Wang Z; Ultrasound Department of National Traditional Chinese Medicine Hospital of Xiangxi Tujia and Miao Autonomous Prefecture, Jishou, Hunan, China.

Source: BMC pregnancy and childbirth [BMC Pregnancy Childbirth] 2025 Nov 14; Vol. 25 (1), pp. 1207. Date of Electronic Publication: 2025 Nov 14.

Publication Type: Journal Article

Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100967799 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2393 (Electronic) Linking ISSN: 14712393 NLM ISO Abbreviation: BMC Pregnancy Childbirth Subsets: MEDLINE

MeSH Terms: Labor, Induced*/methods , Labor, Induced*/statistics & numerical data , Algorithms*, Humans ; Female ; Pregnancy ; Retrospective Studies ; Adult ; Parity ; Nomograms ; Multivariate Analysis ; Cervix Uteri/diagnostic imaging ; ROC Curve ; Cervical Length Measurement ; Cervical Ripening ; Prediction Algorithms

MSF-DETR: A small target detection algorithm for sonar images based on spatial-frequency domain collaborative feature fusion.

Authors: Zhao H; Naval Submarine Academy, Qingdao, China., Han S; Naval Submarine Academy, Qingdao, China., Geng J; Naval Submarine Academy, Qingdao, China., Han Y; Naval Submarine Academy, Qingdao, China., Jia S; Naval Submarine Academy, Qingdao, China., Li K; Naval Submarine Academy, Qingdao, China.

Source: PloS one [PLoS One] 2025 Nov 14; Vol. 20 (11), pp. e0336468. Date of Electronic Publication: 2025 Nov 14 (Print Publication: 2025).

Publication Type: Journal Article

Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

MeSH Terms: Algorithms* , Image Processing, Computer-Assisted*/methods, Detection Algorithms

An optimized Arabic cyberbullying detection approach based on genetic algorithms.

Authors: Eissa AM; Department of IT, Institute of Graduate Studies and Research, Alexandria University, Alexandria, Egypt. ayamohammed@alexu.edu.eg., Guirguis SK; Department of IT, Institute of Graduate Studies and Research, Alexandria University, Alexandria, Egypt., Madbouly MM; Faculty of Computer and Data Science, Alexandria University, Alexandria, Egypt.

Source: Scientific reports [Sci Rep] 2025 Nov 04; Vol. 15 (1), pp. 38479. Date of Electronic Publication: 2025 Nov 04.

Publication Type: Journal Article

Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

MeSH Terms: Algorithms* , Cyberbullying* , Language*, Humans ; Social Media ; Genetic Algorithms

A personalized federated learning-based glucose prediction algorithm for high-risk glycemic excursion regions in type 1 diabetes.

Authors: Darpit D; Department of Industrial and Systems Engineering, Texas A&M University, College Station, USA.; Department of Biomedical Engineering, Purdue University, West Lafayette, USA., Vyas K; Department of Computer Science and Engineering, Texas A&M University, College Station, USA., Jayagopal JK; Department of Computer Science and Engineering, Texas A&M University, College Station, USA., Garcia A; Department of Industrial and Systems Engineering, Texas A&M University, College Station, USA., Erraguntla M; Department of Industrial and Systems Engineering, Texas A&M University, College Station, USA., Lawley M; Department of Industrial and Systems Engineering, Texas A&M University, College Station, USA. malawley@tamu.edu.

Source: Scientific reports [Sci Rep] 2025 Nov 03; Vol. 15 (1), pp. 38376. Date of Electronic Publication: 2025 Nov 03.

Publication Type: Journal Article

Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

MeSH Terms: Blood Glucose*/analysis , Diabetes Mellitus, Type 1*/blood , Algorithms* , Machine Learning* , Blood Glucose Self-Monitoring*/methods, Humans ; Hypoglycemia/blood ; Hypoglycemia/diagnosis ; Female ; Hyperglycemia/diagnosis ; Hyperglycemia/blood ; Male ; Adult ; Prediction Algorithms ; Federated Learning

XGBoost machine learning algorithm for predicting unplanned readmission in elderly patients with coronary heart disease.

Authors: Song X; Department of Pharmacy, Personalized Drug Research and Therapy Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, China., Shi J; Department of Pharmacy, Personalized Drug Research and Therapy Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, China., Zhu C; Department of Pharmacy, Personalized Drug Research and Therapy Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, China., Xian F; Department of Oncology, Beijing Anzhen Nanchong Hospital of Capital Medical University & Nanchong Central Hospital, Nanchong, 637000, China., Dong Z; Department of Pharmacy, Personalized Drug Research and Therapy Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, China., Li J; Department of Pharmacy, Personalized Drug Research and Therapy Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, China. Electronic address: 1371117044@qq.com.

Source: Geriatric nursing (New York, N.Y.) [Geriatr Nurs] 2025 Nov-Dec; Vol. 66 (Pt B), pp. 103609. Date of Electronic Publication: 2025 Sep 12.

Publication Type: Journal Article

Journal Info: Publisher: Mosby-Yearbook Country of Publication: United States NLM ID: 8309633 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1528-3984 (Electronic) Linking ISSN: 01974572 NLM ISO Abbreviation: Geriatr Nurs Subsets: MEDLINE

MeSH Terms: Patient Readmission*/statistics & numerical data , Coronary Disease*/therapy , Machine Learning* , Algorithms*, Humans ; Male ; Aged ; Female ; Retrospective Studies ; Aged, 80 and over ; China ; Length of Stay/statistics & numerical data ; ROC Curve ; Boosting Machine Learning Algorithms

SCI-YOLO11: An improved defect detection algorithm for transmission line insulators based on YOLO11.

Authors: Wang J; Xijing University, Xi'an, Shaanxi, China., Wang Y; Graduate Office, Xijing University, Xi'an, Shaanxi, China., Li X; Xijing University, Xi'an, Shaanxi, China., Yuan B; Xi'an Key Laboratory of High Precision Industrial Intelligent Vision Measurement Technology, Xijing University, Xi'an, Shaanxi, China., Wang M; North China Electric Power University, Baoding, China.

Source: PloS one [PLoS One] 2025 Oct 29; Vol. 20 (10), pp. e0322561. Date of Electronic Publication: 2025 Oct 29 (Print Publication: 2025).

Publication Type: Journal Article

Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

MeSH Terms: Algorithms* , Image Processing, Computer-Assisted*/methods, Detection Algorithms

Improved peaks automatic detection algorithm of noisy quasi-periodic physiological signals.

Authors: Chou YX; Department of Electrical Engineering and Automation, Suzhou University of Technology, Suzhou, People's Republic of China., Chou LJ; Department of Mechatronics Engineering, Huaian Senior Vocational & Technical School, Huaian, People's Republic of China., Gu SH; Department of Electrical Engineering and Automation, Suzhou University of Technology, Suzhou, People's Republic of China., Yang HP; Department of Electrical Engineering and Automation, Suzhou University of Technology, Suzhou, People's Republic of China., Liu JC; Department of Electrical Engineering and Automation, Suzhou University of Technology, Suzhou, People's Republic of China., Feng Y; Department of Electrical Engineering and Automation, Suzhou University of Technology, Suzhou, People's Republic of China.; Department of College of Physics and Electronic Engineering, Northeast Petroleum University, Daqing, People's Republic of China.

Source: Biomedical physics & engineering express [Biomed Phys Eng Express] 2025 Oct 27; Vol. 11 (6). Date of Electronic Publication: 2025 Oct 27.

Publication Type: Journal Article

Journal Info: Publisher: IOP Publishing Ltd Country of Publication: England NLM ID: 101675002 Publication Model: Electronic Cited Medium: Internet ISSN: 2057-1976 (Electronic) Linking ISSN: 20571976 NLM ISO Abbreviation: Biomed Phys Eng Express Subsets: MEDLINE

MeSH Terms: Algorithms* , Signal Processing, Computer-Assisted*, Signal-To-Noise Ratio ; Humans ; Electrocardiography ; Computer Simulation ; Detection Algorithms